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Job ID: 33876
Job Openings by Title Data Scientist
Location Ontario, Canada
Description:
Position:	Data Scientist

Company:	Insurance

Location:	Ontario

Job ID:		33876

Responsibilities:

- Develop and implement, model driven frameworks to support our Individual and Group customer business.
- Advanced data querying/Data preparation using SAS/SQL/Python.
- Collaborate with business subject matter experts, to understand the data and how it can be used to solve business problems.
- Innovate to source and prepare data to support modeling efforts, leveraging structured and unstructured data.
- Liaison with data team to ensure the validity, the frequency and efficiency of the data.
- Lead, manage and deliver advanced analytics solutions through consulting type engagements with internal business teams.
- Become a leader in data science and machine learning.
- While this job requires mathematical skills, it also requires strong presentation & communication skills as there will be significant interaction with executive leadership across multiple lines of business.
- Prove to be a mentor to junior data scientists / co-op students on the team.

Qualifications:

- Advanced degree in Statistics, Math, Comp Sci, Engineering or other related discipline.
- Minimum of 5 years of experience in either statistical/data analysis, predictive modeling, machine learning, deep learning or optimization.
- Ability to communicate effectively with management, advisors, customers, and prospects.
- Strong analytical skills for problem solving purposes and to monetize value for the organization.
- Strong creative thinking skills to determine unique ways to deliver on unmet customer needs.
- Proven interpersonal / teamwork skills on high performing teams.
- Experience working on project teams to analyze business needs.
- Proven ability to learn and handle multiple priorities in a challenging work environment.
- Proven ability to think at an abstract level.
- Among the top 5% of Excel users.
- Highly proficient in the other core Microsoft Office applications.
- Mix of proficiency with SAS, Python, R, SQL, VBA, C++, Java.
- Some travel should be expected. 



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